Design of temperature control system for broiler cage using IoT-based fuzzy logic method

Abstract

Many broiler farms in Indonesia still use conventional methods in managing cage temperature, which can have a negative impact on productivity and chicken welfare. Unstable temperatures can cause stress in chickens, reduce feed efficiency, and lower production yields. To overcome this problem, this research develops an Internet of Things (IoT)-based cage temperature control system with Fuzzy Logic method. The system uses DHT22 sensors to measure temperature and humidity, which are then processed by the NodeMCU ESP32 microcontroller. Based on the Fuzzy Logic method, the system automatically adjusts the intensity of the heating lamp and fan speed to maintain the cage temperature in optimal conditions. The test results show that the system is able to maintain the cage temperature within the optimal range with an average sensor error of 1,36%. In addition, comparison with application proves high accuracy in temperature control. With the integration of IoT technology through the Thingspeak platform, this system enables real-time temperature monitoring and control, thereby improving the efficiency of pedaging farm management.